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Date:
February 8, 2023

Content Creation During the Rise of AI

Hardly a day goes by without someone talking about Artificial Intelligence (AI), and apps like ChatGPT , DALL-E , Flawless , Midjourney , Google Bard , or other generative AI technologies are severe threats to original film and TV content creation. Every major news outlet has done stories on AI's potential detriment to the industry.

Pundits have written extensively on the topic, stoking fears that the beginning of the end of the market for human creativity is upon us. But AI does have its advantages.

Impressive Results

The fear is that films could be made without actors, sets, scripts, directors, locations, costumes, and musicians. Yet today, anyone can produce " emotional soundtracks " influenced by any song they upload or any mood or genre they choose by opening a computer program. The public can download phone apps that make any photo look like a famous painter created it. AI-generated special effects have appeared in film, TV, and video games for years , such as in the Marvel Cinematic Universe (MCU).

Alejandro Jodorowsky is an avant-garde filmmaker who incorporated very futuristic costumes and sets in his films. He famously wanted to make a feature adaptation of "Dune" but never did . An article in the New York Times titled " This Film Does Not Exist " describes how the Midjourney AI platform was used to create realistic-looking "production stills" from the fictitious film " Jodorowsky's Tron ." The article discusses how AI was used to interpret the Jodorowsky style and imagine it in a Tron film and how close Canadian Director Johnny Darrell's images came to being something Jodorowsky could have created himself. The result is impressive, but it also highlights AI's primary weakness.

No Copy Is Original

The word "create" should be loosely used when referring to AI. None of the tool's "creations" are genuinely original. Why? AI only knows what it has been taught or shown. By "taught," we mean what examples or data were used to train it. DALL-E can create images "in the style of Monet," and Midjourney can create costumes in the style of Jodorowsky, but neither can create anything new or unquestionably original. AI copies. It mimics. Could AI conceive an original story like "Avatar"? Could it envisage a painting style like Van Gogh or Picasso? Probably not.

To test this hypothesis, we challenged ChatGPT to "Make something up." Its output:

Once upon a time, there was a magical land called Zogonia, where every object had a will of its own and talked to each other. The king of Zogonia was a wise old oak tree named King Oakley, and all the subjects respected and loved him. One day, a wicked sorcerer cast a spell on King Oakley, turning him into a tiny sapling. A brave young adventurer named Lily set out on a journey to find the sorcerer and break the spell. She met many talking objects along the way, each offering their assistance in their own unique way. Finally, after many trials and tribulations, Lily found the sorcerer's castle, defeated him in a duel, and broke the spell, restoring King Oakley to his former glory. The kingdom of Zogonia rejoiced, and Lily was hailed as a hero. From that day forward, she became known as the protector of Zogonia and its magical talking objects.

With no direction whatsoever, ChatGPT produced a children's story about a mythical place with mythical characters, a protagonist, an antagonist, a heroine, and a happy ending. We then asked it to do it again five more times. Each of its responses was not much different from the first. Each followed the same formula of producing characters, plot, and either happy or open-ended outcomes.

The stories were familiar, more of the same outlines, and that's the point. Humans must remain not only in the loop but in the lead. Without human input, AI is incapable of creating original, finished content.

AI can contribute to the creative process by taking ideas generated by human imagination and constructing images or text using that input. It can suggest how to fill storyline gaps or iterative costume design changes, but that's a long way from story concept to finished film. This is especially true when titles travel across borders and cultures.

AI will not take the jobs of writers, directors, or other creatives anytime soon. It will enable those willing to evolve their processes to explore or expand their creative horizons. Humanity allows us to see variations, imagine alternatives, make mistakes, understand perspectives, and recognize the influence of culture and precedence in content creation. AI has none of those capabilities.

What it does have is what director Frank Pavich mentions in his New York Times piece: access to millions of digitized images from across human civilization that directors, concept artists, and film students can use to influence their imaginations and stories. How will that play out?

As Pavich says, "we're about to find out."

Related Insights

Spherex Classification Tool Now Approved for Home Entertainment Content in Australia

The Albanese Government has updated the Spherex Classification Tool approval to include ratings for theatrical releases, home entertainment, and streaming content in Australia. Spherex was previously approved to classify online films.

The update underscores the Australian Classification Board’s confidence in Spherex as a tool to help Australian viewers make informed choices about the content they consume. This means Australians can now access a range of new films sooner than they might across all formats and windows.

Spherex has a longstanding relationship with the Australian Classification Board. Since 2020, Spherex has collaborated closely with the Australian Government to ensure its technology reliably generates classification decisions that meet Australian standards and viewers' expectations.

As the world’s only commercial provider of local age ratings, Spherex has successfully produced classification decisions for high volumes of online content in over 100 countries. Since 2018, Spherex has issued over one million age ratings for digital content, including films, TV shows, and trailers, distributed by its clients worldwide.

Spherex customers, including Umbrella Entertainment, Madman Entertainment, and Sugoi Co., rely on its AI-based platform to obtain local age ratings in Australia and significantly improve efficiency, cost reduction, and market reach.

Discover how Spherex's cutting-edge AI-based platform can streamline your content classification process and enhance your market reach while reducing costs.

Visit spherex.com today and see how we can support your content distribution needs.

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Spherex Featured in the DPP's IBC 2024: Demand versus Supply Report

Spherex was featured in the DPP’s IBC 2024: Demand versus Supply Report, a comprehensive look at how the M&E industry is meeting key customer demands. The report focuses on the topics of empowering creators, understanding audiences, engaging users, and innovating the newsroom. It also highlights many of the technical innovations seen at the recent IBC Show.

An article by Spherex’s CEO Teresa Phillips titled "Navigating Cultural Resonance in Global Media: The Art and Science of Culture Mixing" was featured in the report, exploring how Spherex is pioneering the future of culturally informed content.

Teresa shares how cultural mixing has become a critical strategy for creating content that appeals to diverse audiences in today's global media landscape. This phenomenon involves blending elements from different cultures to craft films and television shows that resonate globally while adhering to local regulations.

However, the process of culture mixing is fraught with risks. Superficial or stereotypical representations can lead to accusations of cultural appropriation or insensitivity, alienating audiences and damaging a company's reputation. For example, imposing Western concepts on Eastern content without proper context can feel inauthentic and jarring to local viewers. These missteps highlight the need for a nuanced understanding of cultural elements to ensure that content is respectful and engaging.

To address these challenges, M&E companies are increasingly turning to data-driven solutions. Platforms like SpherexAI utilize artificial intelligence to analyze visual, audio, and textual elements, providing insights into how well content aligns with cultural and regulatory standards across over 200 countries and territories. This approach helps media companies understand the "cultural distance" between a title's origin and its target market, enabling them to make informed decisions about global distribution.

By leveraging these advanced tools, M&E companies can go beyond traditional content localization. They can create media that actively engages and resonates with diverse audiences. As the industry continues to evolve, those companies that embrace culturally informed, data-driven approaches will be better positioned to succeed, fostering cross-cultural understanding and trust while delivering globally appealing content.

Download the report here.

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nScreenNoise - Interview Spherex: Avoiding the cultural dead zone

One of the conundrums of streaming is that although a service can deliver content globally, it is not guaranteed to be acceptable in a particular local market. Netflix found this out when it announced global availability in 2016 at CES and was quickly banned in markets like Indonesia, where some of the content was deemed too violent or sexual. In 2016, without boots on the ground in a local market, it wasn’t easy to assess whether a show or movie would be culturally acceptable.

Today, global media companies are acutely aware of the importance of their content’s cultural fit. Moreover, they have a company like Spherex to help them prepare their content to ensure it fits with any country of interest. I interviewed Teresa Phillips, the Co-Founder and CEO of Spherex, at the recent OTT.X Summit in Los Angeles. She explained how the company is leveraging AI and its massive cultural profiling database to help companies prepare content for target markets. She also explained how, in the near future, AI would aid the company in measuring a movie or show’s cultural distance from a regional market and help it avoid falling into the failure zone between cultural fit and novelty interest.

Listen to the full interview here.

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